Dealing with constrained types

Author: Val Brodsky

libs/labelbox/src/labelbox/data/annotation_types/types.py

@@ -1,13 +1,15 @@
 import sys
 from typing import Generic, TypeVar, Any
 
+from pydantic import StringConstraints
+
 from typing_extensions import Annotated
 from packaging import version
 import numpy as np
 
-from pydantic import BaseModel
+from pydantic import Field
 
-Cuid = Annotated[str, pydantic_compat.Field(min_length=25, max_length=25)]
+Cuid = Annotated[str, StringConstraints(min_length=25, max_length=25)]
 
 DType = TypeVar('DType')
 DShape = TypeVar('DShape')

libs/labelbox/src/labelbox/schema/bulk_import_request.py

@@ -8,10 +8,10 @@
 from google.api_core import retry
 from labelbox import parser
 import requests
-from pydantic import BaseModel, model_validator
+from pydantic import BaseModel, model_validator, StringConstraints
 from typing_extensions import Literal
 from typing import (Any, List, Optional, BinaryIO, Dict, Iterable, Tuple, Union,
-                    Type, Set, TYPE_CHECKING)
+                    Type, Set, TYPE_CHECKING, Annotated)
 
 from labelbox import exceptions as lb_exceptions
 from labelbox.orm.model import Entity
@@ -502,7 +502,7 @@ def get_mal_schemas(ontology):
     return valid_feature_schemas_by_schema_id, valid_feature_schemas_by_name
 
 
-LabelboxID: str = pydantic_compat.Field(..., min_length=25, max_length=25)
+LabelboxID = Annotated[str, StringConstraints(min_length=25, max_length=25)]
 
 
 class Bbox(BaseModel):

libs/labelbox/src/labelbox/schema/ontology.py

@@ -11,7 +11,6 @@
 from labelbox.exceptions import InconsistentOntologyException
 from labelbox.orm.db_object import DbObject
 from labelbox.orm.model import Field, Relationship
-from pydantic import BaseModel
 import json
 
 FeatureSchemaId: Type[str] = Annotated[